Forward Deployed Engineer

Forward Deployed Engineer - Amsterdam/Netherlands Hybrid - 6-month & extension likely

Location : Amsterdam / Netherlands

Working model : Hybrid

Initial engagement : 6 months

Extension : likely depending on project pipeline

Hours : 32–40 per week

We are looking for a Forward Deployed AI Engineer to join one of our deployment teams.

We are a Dutch AI engineering company working with large European organisations to put AI into the operational systems where work actually happens. We build software that allows AI systems to perform real work inside businesses.

That means connecting agents to ERP systems, internal APIs, documents, databases and business applications; giving them carefully controlled access to tools; evaluating their behaviour; putting humans in the right places; and getting the resulting system into production.

What you will do:

Understand the problem: Work directly with customer teams to map real workflows, identify where AI can create value, and turn ambiguous problems into buildable solutions.

Build: Rapidly prototype and develop AI agents, integrations, workflows and supporting software using LLMs, APIs, enterprise data and existing systems.

Integrate: Connect what you build to the customer's real environment — ERP, CRM, SaaS, APIs, databases, identity and internal tooling.

Deploy: Work alongside customer engineering teams to get systems into production, monitor them in the real world and iterate based on actual usage.

Technical experience

You should have strong hands-on experience with:

• Python and modern software engineering , including APIs, databases, Git, testing and CI/CD.
• LLM and agentic systems , including tool calling, RAG, structured outputs, orchestration and evaluation.
• Production AI , including observability, guardrails, human-in-the-loop workflows and reliability.
• Cloud and infrastructure , ideally Azure, AWS or GCP, with Docker/Kubernetes experience.
• Enterprise integrations , including REST APIs, authentication/SSO and systems such as SAP, ServiceNow, Salesforce or Microsoft 365.

Experience with frameworks such as LangGraph, LangChain, LlamaIndex, MCP, Langfuse or LangSmith is useful, but we care more about what you have actually shipped than which tools you have used.

If you are excited by the prospect of turning agentic AI prototypes into reliable systems that operate inside real enterprise environments, get in contact with [email protected]